An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks

Brent N. Holben, Jhoon Kim, Itaru Sano, Sonoyo Mukai, Thomas F. Eck, David M. Giles, Joel S. Schafer, Aliaksandr Sinyuk, Ilya Slutsker, Alexander Smirnov, Mikhail Sorokin, Bruce E. Anderson, Huizheng Che, Myungje Choi, James H. Crawford, Richard A. Ferrare, Michael J. Garay, Ukkyo Jeong, Mijin Kim, Woogyung KimNichola Knox, Zhengqiang Li, Hwee S. Lim, Yang Liu, Hal Maring, Makiko Nakata, Kenneth E. Pickering, Stuart Piketh, Jens Redemann, Jeffrey S. Reid, Santo Salinas, Sora Seo, Fuyi Tan, Sachchida N. Tripathi, Owen B. Toon, Qingyang Xiao

Research output: Contribution to journalReview article

19 Citations (Scopus)

Abstract

Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

Original languageEnglish
Pages (from-to)655-671
Number of pages17
JournalAtmospheric Chemistry and Physics
Volume18
Issue number2
DOIs
Publication statusPublished - 2018 Jan 19

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aerosol
remote sensing
aerosol property
model validation
optical property
spatial resolution
physical property
comparison
need
AERONET
in situ

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Holben, Brent N. ; Kim, Jhoon ; Sano, Itaru ; Mukai, Sonoyo ; Eck, Thomas F. ; Giles, David M. ; Schafer, Joel S. ; Sinyuk, Aliaksandr ; Slutsker, Ilya ; Smirnov, Alexander ; Sorokin, Mikhail ; Anderson, Bruce E. ; Che, Huizheng ; Choi, Myungje ; Crawford, James H. ; Ferrare, Richard A. ; Garay, Michael J. ; Jeong, Ukkyo ; Kim, Mijin ; Kim, Woogyung ; Knox, Nichola ; Li, Zhengqiang ; Lim, Hwee S. ; Liu, Yang ; Maring, Hal ; Nakata, Makiko ; Pickering, Kenneth E. ; Piketh, Stuart ; Redemann, Jens ; Reid, Jeffrey S. ; Salinas, Santo ; Seo, Sora ; Tan, Fuyi ; Tripathi, Sachchida N. ; Toon, Owen B. ; Xiao, Qingyang. / An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks. In: Atmospheric Chemistry and Physics. 2018 ; Vol. 18, No. 2. pp. 655-671.
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abstract = "Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.",
author = "Holben, {Brent N.} and Jhoon Kim and Itaru Sano and Sonoyo Mukai and Eck, {Thomas F.} and Giles, {David M.} and Schafer, {Joel S.} and Aliaksandr Sinyuk and Ilya Slutsker and Alexander Smirnov and Mikhail Sorokin and Anderson, {Bruce E.} and Huizheng Che and Myungje Choi and Crawford, {James H.} and Ferrare, {Richard A.} and Garay, {Michael J.} and Ukkyo Jeong and Mijin Kim and Woogyung Kim and Nichola Knox and Zhengqiang Li and Lim, {Hwee S.} and Yang Liu and Hal Maring and Makiko Nakata and Pickering, {Kenneth E.} and Stuart Piketh and Jens Redemann and Reid, {Jeffrey S.} and Santo Salinas and Sora Seo and Fuyi Tan and Tripathi, {Sachchida N.} and Toon, {Owen B.} and Qingyang Xiao",
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Holben, BN, Kim, J, Sano, I, Mukai, S, Eck, TF, Giles, DM, Schafer, JS, Sinyuk, A, Slutsker, I, Smirnov, A, Sorokin, M, Anderson, BE, Che, H, Choi, M, Crawford, JH, Ferrare, RA, Garay, MJ, Jeong, U, Kim, M, Kim, W, Knox, N, Li, Z, Lim, HS, Liu, Y, Maring, H, Nakata, M, Pickering, KE, Piketh, S, Redemann, J, Reid, JS, Salinas, S, Seo, S, Tan, F, Tripathi, SN, Toon, OB & Xiao, Q 2018, 'An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks', Atmospheric Chemistry and Physics, vol. 18, no. 2, pp. 655-671. https://doi.org/10.5194/acp-18-655-2018

An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks. / Holben, Brent N.; Kim, Jhoon; Sano, Itaru; Mukai, Sonoyo; Eck, Thomas F.; Giles, David M.; Schafer, Joel S.; Sinyuk, Aliaksandr; Slutsker, Ilya; Smirnov, Alexander; Sorokin, Mikhail; Anderson, Bruce E.; Che, Huizheng; Choi, Myungje; Crawford, James H.; Ferrare, Richard A.; Garay, Michael J.; Jeong, Ukkyo; Kim, Mijin; Kim, Woogyung; Knox, Nichola; Li, Zhengqiang; Lim, Hwee S.; Liu, Yang; Maring, Hal; Nakata, Makiko; Pickering, Kenneth E.; Piketh, Stuart; Redemann, Jens; Reid, Jeffrey S.; Salinas, Santo; Seo, Sora; Tan, Fuyi; Tripathi, Sachchida N.; Toon, Owen B.; Xiao, Qingyang.

In: Atmospheric Chemistry and Physics, Vol. 18, No. 2, 19.01.2018, p. 655-671.

Research output: Contribution to journalReview article

TY - JOUR

T1 - An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks

AU - Holben, Brent N.

AU - Kim, Jhoon

AU - Sano, Itaru

AU - Mukai, Sonoyo

AU - Eck, Thomas F.

AU - Giles, David M.

AU - Schafer, Joel S.

AU - Sinyuk, Aliaksandr

AU - Slutsker, Ilya

AU - Smirnov, Alexander

AU - Sorokin, Mikhail

AU - Anderson, Bruce E.

AU - Che, Huizheng

AU - Choi, Myungje

AU - Crawford, James H.

AU - Ferrare, Richard A.

AU - Garay, Michael J.

AU - Jeong, Ukkyo

AU - Kim, Mijin

AU - Kim, Woogyung

AU - Knox, Nichola

AU - Li, Zhengqiang

AU - Lim, Hwee S.

AU - Liu, Yang

AU - Maring, Hal

AU - Nakata, Makiko

AU - Pickering, Kenneth E.

AU - Piketh, Stuart

AU - Redemann, Jens

AU - Reid, Jeffrey S.

AU - Salinas, Santo

AU - Seo, Sora

AU - Tan, Fuyi

AU - Tripathi, Sachchida N.

AU - Toon, Owen B.

AU - Xiao, Qingyang

PY - 2018/1/19

Y1 - 2018/1/19

N2 - Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

AB - Over the past 24 years, the AErosol RObotic NETwork (AERONET) program has provided highly accurate remote-sensing characterization of aerosol optical and physical properties for an increasingly extensive geographic distribution including all continents and many oceanic island and coastal sites. The measurements and retrievals from the AERONET global network have addressed satellite and model validation needs very well, but there have been challenges in making comparisons to similar parameters from in situ surface and airborne measurements. Additionally, with improved spatial and temporal satellite remote sensing of aerosols, there is a need for higher spatial-resolution ground-based remote-sensing networks. An effort to address these needs resulted in a number of field campaign networks called Distributed Regional Aerosol Gridded Observation Networks (DRAGONs) that were designed to provide a database for in situ and remote-sensing comparison and analysis of local to mesoscale variability in aerosol properties. This paper describes the DRAGON deployments that will continue to contribute to the growing body of research related to meso- and microscale aerosol features and processes. The research presented in this special issue illustrates the diversity of topics that has resulted from the application of data from these networks.

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UR - http://www.scopus.com/inward/citedby.url?scp=85040945304&partnerID=8YFLogxK

U2 - 10.5194/acp-18-655-2018

DO - 10.5194/acp-18-655-2018

M3 - Review article

AN - SCOPUS:85040945304

VL - 18

SP - 655

EP - 671

JO - Atmospheric Chemistry and Physics

JF - Atmospheric Chemistry and Physics

SN - 1680-7316

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ER -